Uncertainty in Artificial Intelligence
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Real Time Estimation of Bayesian Networks
Robert Welch
For real time evaluation of a Bayesian network when there is not sufficient time to obtain an exact solution, a guaranteed response time, approximate solution is required. It is shown that nontraditional methods utilizing estimators based on an archive of trial solutions and genetic search can provide an approximate solution that is considerably superior to the traditional Monte Carlo simulation methods.
Pages: 533-544
PS Link:
PDF Link: /papers/96/p533-welch.pdf
AUTHOR = "Robert Welch ",
TITLE = "Real Time Estimation of Bayesian Networks",
BOOKTITLE = "Proceedings of the Twelfth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-96)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1996",
PAGES = "533--544"

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